Quess GTS helps assess your AI readiness, identifying the right tools, services, processes, and initial use cases. We collaborate to build AI centers of excellence, deploying safe, enterprise-scale GenAI applications for maximum productivity and Digital Transformaiton.
Our consultants partner with client teams to identify processes suitable for AI implementation. They seek out workflows characterized by repetitiveness, time sensitivity, manual intensity, or complexity. These attributes typically signal opportunities where AI can drive substantial improvements. We document the AS-IS process and work with your teams to define the target state leveraging a combination of AI, automation, and analytics as applicable. We initially deploy use cases in a test environment or Center of Excellence. Once operations teams are confident, we transition to production. We also ensure the necessary infrastructure is in place to support AI and digital technology integration.
Large-language Models (LLM) enables project teams to build safe, secure, enterprise-ready GenAI applications. Our teams will design GenAI processes and components, data set preparation, train the LLM...
For each use case, we can help your team to design the proper prompt or natural language request to get a specific response. Proper prompt engineering helps the AI model to ...
Use of assistants are dependent of use cases, but typically are deployed to improve the efficiency such as summarizing conversations in a call center or accessing prior history for the agent to have...
Integrations with enterprise products (CRM, Contact Center) & services (Rating, Fraud check, Risk Triage) from Microsoft, OpenAI, AWS, etc. and data sources such as data ingestion files, Data lakes &...
201 Littleton Rd, Suite 250, Morris Plains, NJ 07950
United States
973-906-8985
Large-language Models (LLM) enables project teams to build safe, secure, enterprise-ready GenAI applications. Our teams will design GenAI processes and components, data set preparation, train the LLM for specific business needs, identify sensitive data (PII) considerations, document entire application flows and delivering the desired business outcome.
For each use case, we can help your team to design the proper prompt or natural language request to get a specific response. Proper prompt engineering helps the AI model to get enough information to generate the most appropriate data from LLM for your unique use case. This is typically an iterative process as you operationalize Generative AI via training & feedback.
Use of assistants are dependent of use cases, but typically are deployed to improve the efficiency such as summarizing conversations in a call center or accessing prior history for the agent to have available.
Integrations with enterprise products (CRM, Contact Center) & services (Rating, Fraud check, Risk Triage) from Microsoft, OpenAI, AWS, etc. and data sources such as data ingestion files, Data lakes & Data Warehouse. This is achievable as your use cases expand from individual or role specific deployment to wider operational deployment. Sources of input that can be digitally captures which can be structured, unstructured, or binary data that contain trusted data can be accessed to support knowledge workers such as underwriters, loan officers, healthcare agents, benefits consultants, compliance analysts, or financial controllers.